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<item>
  <id>05331772</id>
  <dt>j</dt>
  <an>05331772</an>
  <augroup>
    <au>Alam, Sadaf R.</au>
    <au>Agarwal, Pratul K.</au>
    <au>Smith, Melissa C.</au>
    <au>Vetter, Jeffrey S.</au>
    <au>Caliga, David</au>
  </augroup>
  <ti>Using FPGA devices to accelerate biomolecular simulations.</ti>
  <so>Computer 40, No. 03, 66-73 (2007).</so>
  <py>2007</py>
  <pu>IEEE Computer Society</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>reconfigurable computing</ut>
    <ut>fpgas</ut>
    <ut>biomolecular simulations</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1109/MC.2007.108</li>
  </ligroup>
  <abgroup>
    <ab>Summary: A field-programmable gate array implementation of a molecular dynamics simulation method reduces the microprocessor time-to-solution by a factor of three while using only high-level languages. The application speedup on FPGA devices increases with the problem size. The authors use a performance model to analyze the potential of simulating large-scale biological systems faster than many cluster-based supercomputing platforms.</ab>
    <rv></rv>
  </abgroup>
</item>